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MOLETRONICS: TOWARDS NEW ERA of NANOTECHNOLOGY 1 Prof
International Journal of Technical Research and Applications e-ISSN: 2320-8163, www.ijtra.com, Volume 5, Issue 2 (March - April 2017), PP. 73-75 MOLETRONICS: TOWARDS NEW ERA OF NANOTECHNOLOGY 1 Prof. Y.D. Kapse, 2Mr.Akash A. Sindhikar 1Assistant professor, 2M.tech 1,2 ENTC,GCOEJ, Jalgaon, India Abstract—The Molecular electronics is the fundamental single molecule logic gate. C. Joachim and J.K experimented building blocks of an emerging technology called the conductance of single molecule in IBM. In 1990 Mark ‘nanoelectronics a field that holds promise for application in all Reed et al added few hundred molecules. In 2000 Shirakawa, kinds of electronic devices, from cell phones to sensors. Heeger and MacDiarmid won the Nobel Prize in physics for Molecular devices could be built a thousand times smaller than Si the demoletronics. The conductive polymers can be used as based devices in use now. Computer industry execs might start “molecular wires”. This will altogether alter the fabrication breathing easier because their biggest fear - that smaller and faster devices will eventually come to an end because silicon industry because a conventional silicon chip houses over 10-50 microchips will get so small that eventually they will contain too million switches over an as large as a postage stamp. few silicon atoms to work - might be lessened as advancements in Moletronics aims at redefining this powerful integration molecular electronics come to the rescue. Molecular electronics is technology to density of over one million times than today’s enabling an area of nanoscience and technology that holds state-of-the-art IC fabrication. -
Dynamics of Information As Natural Computation
Information 2011, 2, 460-477; doi:10.3390/info2030460 OPEN ACCESS information ISSN 2078-2489 www.mdpi.com/journal/information Article Dynamics of Information as Natural Computation Gordana Dodig Crnkovic Mälardalen University, School of Innovation, Design and Engineering, Sweden; E-Mail: [email protected] Received: 30 May 2011; in revised form: 13 July 2011 / Accepted: 19 July 2011 / Published: 4 August 2011 Abstract: Processes considered rendering information dynamics have been studied, among others in: questions and answers, observations, communication, learning, belief revision, logical inference, game-theoretic interactions and computation. This article will put the computational approaches into a broader context of natural computation, where information dynamics is not only found in human communication and computational machinery but also in the entire nature. Information is understood as representing the world (reality as an informational web) for a cognizing agent, while information dynamics (information processing, computation) realizes physical laws through which all the changes of informational structures unfold. Computation as it appears in the natural world is more general than the human process of calculation modeled by the Turing machine. Natural computing is epitomized through the interactions of concurrent, in general asynchronous computational processes which are adequately represented by what Abramsky names “the second generation models of computation” [1] which we argue to be the most general representation of information dynamics. Keywords: philosophy of information; information semantics; information dynamics; natural computationalism; unified theories of information; info-computationalism 1. Introduction This paper has several aims. Firstly, it offers a computational interpretation of information dynamics of the info-computational universe [2,3]. -
Natural Computing Conclusion
Introduction Natural Computing Conclusion Natural Computing Dr Giuditta Franco Department of Computer Science, University of Verona, Italy [email protected] For the logistics of the course, please see the syllabus Dr Giuditta Franco Slides Natural Computing 2017 Introduction Natural Computing Natural Computing Conclusion Natural Computing Natural (complex) systems work as (biological) information elaboration systems, by sophisticated mechanisms of goal-oriented control, coordination, organization. Computational analysis (mat modeling) of life is important as observing birds for designing flying objects. "Informatics studies information and computation in natural and artificial systems” (School of Informatics, Univ. of Edinburgh) Computational processes observed in and inspired by nature. Ex. self-assembly, AIS, DNA computing Ex. Internet of things, logics, programming, artificial automata are not natural computing. Dr Giuditta Franco Slides Natural Computing 2017 Introduction Natural Computing Natural Computing Conclusion Bioinformatics versus Infobiotics Applying statistics, performing tools, high technology, large databases, to analyze bio-logical/medical data, solve problems, formalize/frame natural phenomena. Ex. search algorithms to recover genomic/proteomic data, to process them, catalogue and make them publically accessible, to infer models to simulate their dynamics. Identifying informational mechanisms underlying living systems, how they assembled and work, how biological information may be defined, processed, decoded. New -
A Computational Model Inspired by Gene Regulatory Networks
Rui Miguel Lourenço Lopes A Computational Model Inspired by Gene Regulatory Networks Doctoral thesis submitted to the Doctoral Program in Information Science and Technology, supervised by Full Professor Doutor Ernesto Jorge Fernandes Costa, and presented to the Department of Informatics Engineering of the Faculty of Sciences and Technology of the University of Coimbra. January 2015 A Computational Model Inspired by Gene Regulatory Networks A thesis submitted to the University of Coimbra in partial fulfillment of the requirements for the Doctoral Program in Information Science and Technology by Rui Miguel Lourenço Lopes [email protected] Department of Informatics Engineering Faculty of Sciences and Technology University of Coimbra Coimbra, January 2015 Financial support by Fundação para a Ciência e a Tecnologia, through the PhD grant SFRH/BD/69106/2010. A Computational Model Inspired by Gene Regulatory Networks ©2015 Rui L. Lopes ISBN 978-989-20-5460-5 Cover image: Composition of a Santa Fe trail program evolved by ReNCoDe overlaid on the ancestors, with a 3D model of the DNA crystal structure (by Paul Hakimata). This dissertation was prepared under the supervision of Ernesto J. F. Costa Full Professor of the Department of Informatics Engineering of the Faculty of Sciences and Tecnology of the University of Coimbra In loving memory of my father. Acknowledgements Thank you very much to Prof. Ernesto Costa, for his vision on research and education, for all the support and contributions to my ideas, and for the many life stories that always lighten the mood. Thank you also to Nuno Lourenço for the many discussions, shared books, and his constant helpfulness. -
The Many Facets of Natural Computing
The Many Facets of Natural Computing Lila Kari0 Grzegorz Rozenberg Department of Computer Science Leiden Inst. of Advanced Computer Science University of Western Ontario Leiden University, Niels Bohrweg 1 London, ON, N6A 5B7, Canada 2333 CA Leiden, The Netherlands [email protected] Department of Computer Science University of Colorado at Boulder Boulder, CO 80309, USA [email protected] “Biology and computer science - life and computation - are various natural phenomena. Thus, rather than being over- related. I am confident that at their interface great discoveries whelmed by particulars, it is our hope that the reader will await those who seek them.” (L.Adleman, [3]) see this article as simply a window onto the profound rela- tionship that exists between nature and computation. There is information processing in nature, and the natu- 1. FOREWORD ral sciences are already adapting by incorporating tools and Natural computing is the field of research that investi- concepts from computer science at a rapid pace. Conversely, gates models and computational techniques inspired by na- a closer look at nature from the point of view of information ture and, dually, attempts to understand the world around processing can and will change what we mean by computa- us in terms of information processing. It is a highly in- tion. Our invitation to you, fellow computer scientists, is to terdisciplinary field that connects the natural sciences with take part in the uncovering of this wondrous connection.1 computing science, both at the level of information tech- nology and at the level of fundamental research, [98]. As a matter of fact, natural computing areas and topics come in many flavours, including pure theoretical research, algo- 2. -
Nanoict STRATEGIC RESEARCH AGENDA Version 2.0 December 2011 AGENDA STRATEGICRESEARCH Nanoict
2011 December 2.0 Version nanoICT Funded by Edited by STRATEGIC RESEARCH Phantoms Foundation AGENDA RESEARCH STRATEGIC Alfonso Gomez 17 28037 Madrid - Spain AGENDA [email protected] www.phantomsnet.net www.nanoict.org nanoICT nanoICT Strategic Reseach Agenda Index 1.1.1.-1.--- Introduction 777 2.2.2.-2.--- Strategic Research Agendas 131313 2.1 ––– Graphene 15 2.2 ––– Modeling 19 2.3 ––– Nanophononics / Nanophotonics 23 3.3.3.-3.--- Annex 1 --- NanoICT WorWorkingking Groups 252525 position papers 3.1 ––– Graphene 27 3.2 ––– Status of Modelling for nanoscale information processing and storage devices 79 3.3 ––– Nanophononics / Nanophotonics 105 3.4 ––– bioICT 141 3.5 ––– Nano Electro Mechanical Systems (NEMS) 149 4.4.4.-4.--- Annex 2 --- nanoICT groups & statistics 171 Annex 2.1 ––– List of nanoICT registered groups 173 Annex 2.2 ––– Statistics 181 555.5...---- Annex 3 --- National & regional funding 185 schemes study Foreword Antonio Correia Coordinator of the nanoICT CA Phantoms Foundation (Madrid, Spain) At this stage, it is impossible to predict the exact and accelerate progress in identified R&D course the nanotechnology revolution will take directions and priorities for the “nanoscale ICT and, therefore, its effect on our daily lives. We devices and systems” FET proactive program and can, however, be reasonably sure that guide public research institutions, keeping Europe nanotechnology will have a profound impact on at the forefront in research. In addition, it aims to the future development of many commercial be a valid source of guidance, not only for the sectors. The impact will likely be greatest in the nanoICT scientific community but also for the strategic nanoelectronics (ICT nanoscale devices - industry (roadmapping issues), providing the latest nanoICT) sector, currently one of the key enabling developments in the field of emerging nano- technologies for sustainable and competitive devices that appear promising for future take up growth in Europe, where the demand for by the industry. -
Info-Computational Philosophy of Nature
Alan Turing’s Legacy: Info-Computational Philosophy of Nature Gordana Dodig-Crnkovic1 Abstract. Alan Turing’s pioneering work on computability, and Turing did not originally claim that the physical system his ideas on morphological computing support Andrew Hodges’ producing patterns actually performs computation through view of Turing as a natural philosopher. Turing’s natural morphogenesis. Nevertheless, from the perspective of info- philosophy differs importantly from Galileo’s view that the book computationalism, [3,4] argues that morphogenesis is a process of nature is written in the language of mathematics (The of morphological computing. Physical process, though not Assayer, 1623). Computing is more than a language of nature as computational in the traditional sense, presents natural computation produces real time physical behaviors. This article (unconventional), physical, morphological computation. presents the framework of Natural Info-computationalism as a contemporary natural philosophy that builds on the legacy of An essential element in this process is the interplay between the Turing’s computationalism. Info-computationalism is a synthesis informational structure and the computational process – of Informational Structural Realism (the view that nature is a information self-structuring. The process of computation web of informational structures) and Natural Computationalism implements physical laws which act on informational structures. (the view that nature physically computes its own time Through the process of computation, structures change their development). It presents a framework for the development of a forms, [5]. All computation on some level of abstraction is unified approach to nature, with common interpretation of morphological computation – a form-changing/form-generating inanimate nature as well as living organisms and their social process, [4]. -
Natural Computing Methods in Bioinformatics: a Survey
Natural Computing Methods in Bioinformatics: A Survey Francesco Masulli a;b;¤ and Sushmita Mitra c aDepartment of Computer and Information Sciences, University of Genova, Via Dodecaneso 35, 16146 Genoa, ITALY. bCenter for Biotechnology, Temple University, 1900 N 12th Street Philadelphia PA 19122, USA. cMachine Intelligence Unit, Indian Statistical Institute, Kolkata 700 108, INDIA. Abstract Often data analysis problems in Bioinformatics concern the fusion of multisensor outputs or the fusion of multi-source information, where one must integrate dif- ferent kinds of biological data. Natural computing provides several possibilities in Bioinformatics, especially by presenting interesting nature-inspired methodologies for handling such complex problems. In this article we survey the role of natural computing in the domains of protein structure prediction, microarray data analysis and gene regulatory network generation. We utilize the learning ability of neural networks for adapting, uncertainty handling capacity of fuzzy sets and rough sets for modeling ambiguity, and the search potential of genetic algorithms for e±ciently traversing large search spaces. Key words: Natural Computing, Bioinformatics, protein structure prediction, microarray data analysis, biological networks modeling. 1 Introduction The 20th Century is frequently referred as the Century of Biology, given the huge developments of this scienti¯c area that concluded that century with the great success of the Human Genome Project [1,2] producing the full human DNA sequencing. -
Handbook of Natural Computing
Handbook of Natural Computing Springer Reference Editors • Main Editor – Grzegorz Rozenberg (LIACS, Leiden University, The Netherlands, and Computer Science Dept., University of Colorado, Boulder, USA) • Thomas Bäck (LIACS, Leiden University, The Netherlands) • Joost N. Kok (LIACS, Leiden University, The Netherlands) Details • 4 volumes, 2104 pp., published 08/12 • Printed Book: 978-3-540-92909-3 • eReference (online): 978-3-540-92910-9 • Printed Book + eReference: 978-3-540-92911-6 Overview Natural Computing is the field of research that investigates both human-designed computing inspired by nature and computing taking place in nature, that is, it investigates models and computational tech- niques inspired by nature, and also it investigates, in terms of information processing, phenomena tak- ing place in nature. Examples of the first strand of research include neural computation inspired by the functioning of the brain; evolutionary computation inspired by Darwinian evolution of species; cellular automata in- spired by intercellular communication; swarm intelligence inspired by the behavior of groups of or- ganisms; artificial immune systems inspired by the natural immune system; artificial life systems in- spired by the properties of natural life in general; membrane computing inspired by the compart- mentalized ways in which cells process information; and amorphous computing inspired by morpho- genesis. Other examples of natural-computing paradigms are quantum computing and molecular com- puting, where the goal is to replace traditional electronic hardware by, for example, bioware in molec- ular computing. In quantum computing, one uses systems small enough to exploit quantum-mechani- cal phenomena to perform computations and to perform secure communications more efficiently than classical physics and, hence, traditional hardware allows. -
Natural/Unconventional Computing and Its Philosophical Significance
Entropy 2012, 14, 2408-2412; doi:10.3390/e14122408 OPEN ACCESS entropy ISSN 1099-4300 www.mdpi.com/journal/entropy Editorial Natural/Unconventional Computing and Its Philosophical Significance Gordana Dodig Crnkovic 1,* and Raffaela Giovagnoli 2 1 Department of Computer Science and Networks, School of Innovation, Design and Engineering Mälardalen University, Västerås 721 23, Sweden 2 Department of Philosophy, Lateran University, Vatican City, Rome 00184, Italy; E-Mail: [email protected] * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +46-21-15-17-25. Received: 31 October 2012; in revised form: 21 November 2012 / Accepted: 26 November 2012 / Published: 27 November 2012 Abstract: In this special issue we present a selection of papers from the Symposium on Natural/Unconventional Computing and its Philosophical Significance, held during the AISB/IACAP 2012 World Congress in Birmingham (UK). This article is an editorial, introducing the special issue of the journal with the selected papers and the research program of Natural/Unconventional Computing. Keywords: natural computing; unconventional computing; computation beyond the Turing limit; unconventional models of computation 1. Introduction The AISB/IACAP 2012 World Congress combined the British Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB) convention and the International Association for Computing and Philosophy (IACAP) conference honoring Alan Turing’s essential impact on the theory of computation, AI and philosophy of computing. The Congress was one of the events of the Alan Turing Year. Even though Turing is best known for his Logical Machine (the Turing machine) and the Turing test of a machine's ability to exhibit intelligent behavior, his contribution to the foundations of Entropy 2012, 14 2409 computation is significantly broader in scope. -
Structure & Examination Pattern
Structure of M.Tech (Nano Technology) Based on Credit Pattern STRUCTURE & EXAMINATION PATTERN Semester I Total Duration : 20hrs/week Total Marks : 500 Total Credits : 18 Teaching Examination Scheme Examination Scheme Total Scheme (Hrs) (Marks) (Credits) Credits Subjects Hrs./Week Unit Attend Tutorial/ Pract/ TW/PR L P Theory TW TH Test ance Assignments Oral /OR Nanoscience& 04 02 60 20 10 10 25 25 04 01 05 Nanotechnology Nano-Physics 04 -- 60 20 10 10 -- -- 04 -- 04 Nano-Chemistry 04 -- 60 20 10 10 -- -- 04 -- 04 Nano-Biology 04 02 60 20 10 10 25 25 04 01 05 Total 16 04 240 80 40 40 50 50 16 02 18 Semester II Total Duration : 20hrs/week Total Marks : 500 Total Credits : 18 Teaching Examination Examination Scheme Total Scheme (Hrs) Scheme (Marks) Credits Subjects Hrs./Week (Credits) Unit Attend Tutorial/ Pract/ TW/PR/ L P Theory TW TH Test ance Assignments Oral OR Nano-Computing 04 -- 60 20 10 10 -- -- 04 -- 04 Nano Fabrication and Advanced 04 02 60 20 10 10 25 25 04 01 05 Synthesis Technology Nano Characterization 04 02 60 20 10 10 25 25 04 01 05 Energy, Environment, Safety and Commercialization for 04 -- 60 20 10 10 -- -- 04 -- 04 Nanotechnology Total 16 04 240 80 40 40 50 50 16 02 18 Semester III Total Duration : 28hrs/week Total Marks : 475 Total Credits : 40 Teaching Examination Scheme Examination Scheme Total Scheme (Hrs) (Credits) Credits Subjects Hrs./Week Attenda Tutorial/ Pract/ TW/PR/ L P Theory Unit Test TW TH nce Assignments Oral OR Elective –I 04 02 60 20 10 10 25 25 04 01 05 Elective –II 04 02 60 20 10 10 25 25 04 01 05 -
Optical and Electronic Logic Gate with Orthogonal Inputs
This document is downloaded from DR‑NTU (https://dr.ntu.edu.sg) Nanyang Technological University, Singapore. Optical and electronic logic gate with orthogonal inputs Xu, Cai 2018 Xu, C. (2018). Optical and electronic logic gate with orthogonal inputs. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/89677 https://doi.org/10.32657/10220/46334 Downloaded on 07 Oct 2021 17:59:43 SGT OPTICAL AND ELECTRONIC LOGIC GATE WITH ORTHOGONAL INPUTS XU CAI SCHOOL OF MATERIALS SCIENCE AND ENGINEERING 2018 OPTICAL AND ELECTRONIC LOGIC GATE WITH ORTHOGONAL INPUTS XU CAI SCHOOL OF MATERIALS SCIENCE AND ENGINEERING A thesis submitted to the Nanyang Technological University in partial fulfillment of the requirement for the degree of Doctor of Philosophy 2018 Statement of Originality I hereby certify that the work embodied in this thesis is the result of original research and has not been submitted for a higher degree to any other University or Institution. 17/01/2018 . Date Xu Cai Supervisor Declaration Statement I have reviewed the content and presentation style of this thesis and declare it is free of plagiarism and of sufficient grammatical clarity to be examined. To the best of my knowledge, the research and writing are those of the candidate except as acknowledged in the Author Attribution Statement. I confirm that the investigations were conducted in accord with the ethics policies and integrity standards of Nanyang Technological University and that the research data are presented honestly and without prejudice. 17/01/2018 . Date Chen Xiaodong Authorship Attribution Statement This thesis contains material from a paper (plan to be) published in the following peer- reviewed journal where I was the first and/or corresponding author.